Jun Park
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
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- Magnolia and Illicium research
Papers in
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- Thyroid Cancer Diagnosis and Treatment 12
- Thyroid Disorders and Treatments 3
- Pituitary Gland Disorders and Treatments 2
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- Metabolism, Diabetes, and Cancer 2
- Bioactive Natural Diterpenoids Research 1
- Co-authors
- Jae Hoon Chung (16 shared papers)Tae Hyuk Kim (16 shared papers)Sun Wook Kim (14 shared papers)Hyunju Park (14 shared papers)Dahae Lee (2 shared papers)Myung‐Chul Lee (3 shared papers)Ji Young Sul (3 shared papers)Jinsun Lee (3 shared papers)
- Journals
- Cancers (6 papers)Thyroid (2 papers)Frontiers in Endocrinology (2 papers)Nuclear Medicine Communications (1 paper)Biophysical Chemistry (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Jun Park
24 papers receiving 389 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 188
- Rehabilitation 21
- Molecular Medicine 16
- Pathology and Forensic Medicine 51
- Biochemistry 18
Countries citing papers authored by Jun Park
This map shows the geographic impact of Jun Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Park more than expected).
Fields of papers citing papers by Jun Park
This network shows the impact of papers produced by Jun Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Park. The network helps show where Jun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 43 | |
| 2 | 2019 | 35 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 29 | |
| 5 | 2018 | 28 | |
| 6 | 2008 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2019 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2018 | 5 |
About Jun Park
Jun Park is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Pathology and Forensic Medicine and Surgery, having authored 24 papers that have together received 391 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Thyroid Disorders and Treatments (3 papers), BRCA gene mutations in cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Thyroid and Parathyroid Surgery (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Ferroptosis and cancer prognosis (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Rehabilitation (21 citations), Molecular Medicine (16 citations), Pathology and Forensic Medicine (51 citations) and Biochemistry (18 citations). Jun Park has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jae Hoon Chung, Tae Hyuk Kim, Sun Wook Kim, Hyunju Park, Dahae Lee, Myung‐Chul Lee, Ji Young Sul, Jinsun Lee, Ki Sung Kang and So Young Park. Their work appears in journals such as Cancers, Thyroid, Frontiers in Endocrinology, Nuclear Medicine Communications and Biophysical Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.